ILCOC: An Incremental Learning Framework Based on Contrastive One-Class Classifiers. - Wenju Sun; Jing Zhang 058; Danyu Wang; Yangli-ao Geng; Qingyong Li (CVPR Workshops, 2021)

Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers. - Wenju Sun; Qingyong Li; Jing Zhang 058; Danyu Wang; Wen Wang 019; Yangli-ao Geng (CoRR, 2022)

Distribution and gradient constrained embedding model for zero-shot learning with fewer seen samples. - Jing Zhang 058; Yangli-ao Geng; Wen Wang 019; Wenju Sun; Zhirong Yang; Qingyong Li (Knowl. Based Syst., 2022)

A zero-shot learning framework via cluster-prototype matching. - Jing Zhang 058; Qingyong Li; Yangli-ao Geng; Wen Wang 019; Wenju Sun; Chuan Shi 001; Zhengming Ding (Pattern Recognit., 2022)

Decoupling Learning and Remembering: a Bilevel Memory Framework with Knowledge Projection for Task-Incremental Learning. - Wenju Sun; Qingyong Li; Jing Zhang 058; Wen Wang 019; Yangli-ao Geng (CVPR, 2023)

Towards Plastic and Stable Exemplar-Free Incremental Learning: A Dual-Learner Framework with Cumulative Parameter Averaging. - Wenju Sun; Qingyong Li; Wen Wang 019; Yangli-ao Geng (CoRR, 2023)

Exemplar-free class incremental learning via discriminative and comparable parallel one-class classifiers. - Wenju Sun; Qingyong Li; Jing Zhang 058; Danyu Wang; Wen Wang 019; Yangli-ao Geng (Pattern Recognit., 2023)

Class Incremental Learning based on Identically Distributed Parallel One-Class Classifiers. - Wenju Sun; Qingyong Li; Jing Zhang 058; Wen Wang 019; Yangli-ao Geng (Neurocomputing, 2023)

CLAP: Learning Transferable Binary Code Representations with Natural Language Supervision. - Hao Wang 003; Zeyu Gao; Chao Zhang 008; Zihan Sha; Mingyang Sun; Yuchen Zhou; Wenyu Zhu; Wenju Sun; Han Qiu 001; Xi Xiao (ISSTA, 2024)

Incremental Learning via Robust Parameter Posterior Fusion. - Wenju Sun; Qingyong Li; Siyu Zhang; Wen Wang 019; Yangli-ao Geng (ACM Multimedia, 2024)

Disentangling clusters from non-Euclidean data via graph frequency reorganization. - Yangli-ao Geng; Chong-Yung Chi; Wenju Sun; Jing Zhang 058; Qingyong Li (Inf. Sci., 2024)

Discriminative Suprasphere Embedding for Fine-Grained Visual Categorization. - Shuo Ye; Qinmu Peng; Wenju Sun; Jiamiao Xu; Yu Wang 106; Xinge You; Yiu-Ming Cheung (IEEE Trans. Neural Networks Learn. Syst., 2024)

Decoupled likelihood modeling: A scalable approach for incremental generalized category discovery. - Siyu Zhang; Wenju Sun; Yangli-ao Geng; Qingyong Li; Wen Wang 019 (Neurocomputing, 2025)

Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts. - Wenju Sun; Qingyong Li; Wen Wang 019; Yangli-ao Geng; Boyang Li (CoRR, 2025)

CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging. - Wenju Sun; Qingyong Li; Yangli-ao Geng; Boyang Li (CoRR, 2025)

Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration. - Wenju Sun; Qingyong Li; Wen Wang 019; Yang Liu 352; Yangli-ao Geng; Boyang Li (CoRR, 2025)